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Useful estimation procedures for critical gaps
Institution:1. Institute for Transportation and Traffic Engineering, Ruhr-University, D-44788 Bochum, Germany;2. Queensland University of Technology, Brisbane, Australia;1. Human Factors of Vehicle Automation, Institute for Transport Studies, University of Leeds, LS1 9JT Leeds, UK;2. School of Psychology, The University of Nottingham, University Park, Nottingham NG7 2RD, UK;3. School of Social Sciences, Nottingham Trent University, 50 Shakespeare St, Nottingham NG1 4FQ, UK;1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia;2. Belgrade Business School, Higher Education Institution for Applied Studies, Kraljice Marije 73, 11000 Belgrade, Serbia;3. Faculty of Technical Sciences, University of Prishtina, Kneza Milosa 7, Kosovska Mitrovica, Serbia;1. Qatar University, Doha, Qatar University;2. Monash University, Clayton, Victoria, Australia
Abstract:Many different methods for the estimation of critical gaps at unsignalized intersections have been published in the international literature. This paper gives an overview of some of the more important methods. These methods are described by their characteristic properties. For comparison purposes a set of quality criteria has been formulated by which the usefulness of the different methods can be assessed. Among these one aspect seems to be of primary importance. This is the objective that the results of the estimation process should not depend on the traffic volume on the major street during the time of observation. Only if this condition is fulfilled, can the estimation be applied under all undersaturated traffic conditions at unsignalized intersections. To test the qualification of some of the estimation methods under this criterion, a series of comprehensive simulations has been performed. As a result, the maximum likelihood procedure (as it has been described by Troutbeck) and the method developed by Hewitt can be recommended for practical application. ©
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